Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10343595 | Microprocessors and Microsystems | 2005 | 9 Pages |
Abstract
In this work we show the application of self-organizing maps for analysing large microprocessor selection tables, like those used for device selection. We explain how to apply this artificial neural network to extract relevant information from microprocessor device databases, showing some case studies as an illustration. The resulting 'microprocessor maps' can be a valuable tool for the design engineer in the task of selecting a specific microprocessor or microcontroller device for a particular embedded application. In addition, these 'micromaps' can be used for microprocessor market analysis.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Bonifacio MartÃn-del-BrÃo, Antonio Bono-Nuez, Nicolás Medrano-Marqués,